EpiCompare compares epigenetic datasets for quality control and benchmarking purposes. The report consists of three sections:

  1. General Metrics: Metrics on peaks (percentage of blacklisted and non-standard peaks, and peak widths) and fragments (duplication rate) of samples.
  2. Peak Overlap: Percetnage and statistical significance of overlapping and non-overlapping peaks. Also includes upset plot.
  3. Functional Annotation: Functional annotation (ChromHMM, ChIPseeker and enrichment analysis) of peaks. Also includes peak enrichment around TSS.

Input Datasets
  • Reference peakfile: H3K4me3_ENLabG38_E12
  • Total of 11 peak files:
## [1] "File1: H3K4me3_ENLabG38_E0_5"
## [1] "File2: H3K4me3_ENLabG38_E01"
## [1] "File3: H3K4me3_ENLabG38_E02"
## [1] "File4: H3K4me3_ENLabG38_E03"
## [1] "File5: H3K4me3_ENLabG38_E04"
## [1] "File6: H3K4me3_ENLabG38_E05"
## [1] "File7: H3K4me3_ENLabG38_E06"
## [1] "File8: H3K4me3_ENLabG38_E07"
## [1] "File9: H3K4me3_ENLabG38_E08"
## [1] "File10: H3K4me3_ENLabG38_E10"
## [1] "File11: H3K4me3_ENLabG38_E12"
Code
EpiCompare(peakfiles = list(H3K4me3_ENLabG38_E0_5, H3K4me3_ENLabG38_E01, H3K4me3_ENLabG38_E02, H3K4me3_ENLabG38_E03, H3K4me3_ENLabG38_E04, H3K4me3_ENLabG38_E05, H3K4me3_ENLabG38_E06, H3K4me3_ENLabG38_E07, H3K4me3_ENLabG38_E08, H3K4me3_ENLabG38_E10, H3K4me3_ENLabG38_E12),
           genome_build = hg38,
           blacklist = blacklist,
           picard_files = list(),
           reference = H3K4me3_ENLabG38_E12,
           stat_plot = TRUE,
           chromHMM_plot = TRUE,
           chromHMM_annotation = "Nhlf",
           chipseeker_plot = TRUE,
           enrichment_plot = TRUE,
           interact = TRUE,
           save_output = TRUE,
           output_dir = "/Users/apple/Downloads/cutandrun/ENCODE_correlation/A549_H3K4me3_ExperimentSeries")

1. General Metrics

Peak Information

Column Description:

  • PeakN before tidy: Total number of peaks including those blacklisted and those in non-standard chromosomes.
  • Blacklisted peaks removed (%): Percentage of blacklisted peaks in samples. E.g. ENCODE hg19 blacklist includes regions in the hg19 genome that have anomalous and/or unstructured signals independent of the cell-line or experiment.
  • Non-standard peaks removed (%): Percentage of peaks in non-standard and/or mitochondrial chromosomes. Identified using BRGenomics::tidyChromosomes().
  • PeakN after tidy: Total number of peaks after removing those in blacklisted regions and non-standard chromosomes.

NB: EpiCompare uses filtered peakfiles (i.e. datasets after removing peaks in blacklisted regions and non-standard chromosomes)


Sample PeakN before tidy Blacklisted peaks removed (%) Non-standard peaks removed (%) PeakN after tidy
H3K4me3_ENLabG38_E0_5 27474 0.0473 0.1890 27409
H3K4me3_ENLabG38_E01 28050 0.0392 0.1210 28005
H3K4me3_ENLabG38_E02 26209 0.0382 0.0763 26179
H3K4me3_ENLabG38_E03 26445 0.0454 0.1290 26399
H3K4me3_ENLabG38_E04 25110 0.0358 0.1230 25070
H3K4me3_ENLabG38_E05 21935 0.0319 0.0228 21923
H3K4me3_ENLabG38_E06 23796 0.0420 0.0504 23774
H3K4me3_ENLabG38_E07 26198 0.0458 0.1450 26148
H3K4me3_ENLabG38_E08 25552 0.0391 0.1060 25515
H3K4me3_ENLabG38_E10 19871 0.0554 0.0956 19841

Fragment Information

Metrics on fragments is shown only if Picard summary is provided. See manual for help.

Column Description:

  • Mapped_Fragments: Number of mapped read pairs in the file.
  • Duplication_Rate: Percentage of mapped sequence that is marked as duplicate.
  • Unique_Fragments: Number of mapped sequence that is not marked as duplicate.



Peak widths

Distribution of peak widths in samples



2. Peak Overlap

Percentage Overlap

Percentage of overlapping peaks between samples. Hover over heatmap for percentage values.

N.B. How to interpret heatmap: [Samples in x-axis of heatmap] peaks in [Samples in y-axis of heatmap] peaks



Upset Plot

Upset plot of overlapping peaks between samples. See here on how to interpret the plot.

quartz_off_screen 2


Statistical Significance

Depending on the format of the reference file, EpiCompare outputs different plots:

  • Reference dataset has BED6+4 format (peakcalling performed with MACS2): EpiCompare generates paired boxplot per sample showing the distribution of -log10(q-value) of reference peaks that are overlapping and non-overlapping with the sample dataset.
  • Reference dataset does not have BED6+4 format: EpiCompare generates a barplot of percentage of overlapping sample peaks with the reference, coloured by statistical significance (adjusted p-value) of the overlap.

Reference peakfile: H3K4me3_ENLabG38_E12

Keys:

  • Overlap: Sample peaks in Reference peaks
  • Unique: Sample peaks not in Reference peaks



3. Functional Annotation

3.1 ChromHMM

ChromHMM annotates and characterises peaks into different chromatin states. ChromHMM annotations used in EpiCompare were obtained from here.

  • Cell-type annotation file used in this analysis: Nhlf

All samples

ChromHMM annotation of individual samples.

Overlap: Sample peaks in Reference peaks

Percentage of Sample peaks found in Reference peaks (Reference peakfile: H3K4me3_ENLabG38_E12)

Percentage
H3K4me3_ENLabG38_E0_5 67.2
H3K4me3_ENLabG38_E01 71.0
H3K4me3_ENLabG38_E02 77.1
H3K4me3_ENLabG38_E03 75.4
H3K4me3_ENLabG38_E04 78.1
H3K4me3_ENLabG38_E05 95.1
H3K4me3_ENLabG38_E06 89.2
H3K4me3_ENLabG38_E07 71.2
H3K4me3_ENLabG38_E08 75.0
H3K4me3_ENLabG38_E10 92.3
H3K4me3_ENLabG38_E12 100.0

ChromHMM annotation of sample peaks found in reference peaks.

Overlap: Reference peaks in Sample peaks

Percentage of Reference peaks found in Sample peaks (Reference peakfile: H3K4me3_ENLabG38_E12)

Percentage
H3K4me3_ENLabG38_E0_5 99.8
H3K4me3_ENLabG38_E01 99.3
H3K4me3_ENLabG38_E02 98.6
H3K4me3_ENLabG38_E03 99.3
H3K4me3_ENLabG38_E04 99.3
H3K4me3_ENLabG38_E05 84.1
H3K4me3_ENLabG38_E06 95.4
H3K4me3_ENLabG38_E07 99.8
H3K4me3_ENLabG38_E08 99.5
H3K4me3_ENLabG38_E10 96.0
H3K4me3_ENLabG38_E12 100.0

ChromHMM annotation of reference peaks found in sample peaks.

Unique: Sample peaks not in Reference peaks

Percentage of sample peaks not found in reference peaks (Reference peakfile: H3K4me3_ENLabG38_E12)

Percentage
H3K4me3_ENLabG38_E0_5 32.80
H3K4me3_ENLabG38_E01 29.00
H3K4me3_ENLabG38_E02 22.90
H3K4me3_ENLabG38_E03 24.60
H3K4me3_ENLabG38_E04 21.90
H3K4me3_ENLabG38_E05 4.94
H3K4me3_ENLabG38_E06 10.80
H3K4me3_ENLabG38_E07 28.80
H3K4me3_ENLabG38_E08 25.00
H3K4me3_ENLabG38_E10 7.65
H3K4me3_ENLabG38_E12 0.00

ChromHMM annotation of sample peaks not found in reference peaks.

Unique: Reference peaks not in Sample peaks

Percentage of reference peaks not found in sample peaks (Reference peakfile: H3K4me3_ENLabG38_E12)

Percentage
H3K4me3_ENLabG38_E0_5 0.162
H3K4me3_ENLabG38_E01 0.688
H3K4me3_ENLabG38_E02 1.380
H3K4me3_ENLabG38_E03 0.710
H3K4me3_ENLabG38_E04 0.746
H3K4me3_ENLabG38_E05 15.900
H3K4me3_ENLabG38_E06 4.630
H3K4me3_ENLabG38_E07 0.202
H3K4me3_ENLabG38_E08 0.463
H3K4me3_ENLabG38_E10 4.010
H3K4me3_ENLabG38_E12 0.000

ChromHMM annotation of reference peaks not found in sample peaks.


3.2 ChIPseeker

EpiCompare uses ChIPseeker::annotatePeak() to annotate peaks with the nearest gene and genomic regions where the peak is located. The peaks are annotated with genes taken from human genome annotations (hg19 or hg38) provided by Bioconductor.


3.3 Functional Enrichment Analysis

EpiCompare performs KEGG pathway and GO enrichment analysis using clusterProfiler. ChIPseeker::annotatePeak() is first used to assign peaks to nearest genes. Biological themes amongst the genes are identified using ontologies (KEGG and GO). The peaks are annotated with genes taken from annotations of human genome (hg19 or hg38) provided by Bioconductor.


KEGG


GO


3.4 Peak Frequency around TSS

This plots peaks that are mapping to transcriptional start sites (TSS). TSS regions are defined as the flanking sequence of the TSS sites. The frequency of peaks in downstream (-3000bp) and upstream (+3000bp) of TSS is plotted. Faint color line around the main frequency line represents the 95% confidence interval estimated by bootstrap method.

## >> Running bootstrapping for tag matrix...        2022-06-07 19时20分21秒 
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4. Session Info

## R version 4.2.0 (2022-04-22)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Monterey 12.3.1
## 
## Matrix products: default
## LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] zh_CN.UTF-8/zh_CN.UTF-8/zh_CN.UTF-8/C/zh_CN.UTF-8/zh_CN.UTF-8
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] rtracklayer_1.56.0   GenomicRanges_1.48.0 GenomeInfoDb_1.32.2  IRanges_2.30.0       S4Vectors_0.34.0    
## [6] BiocGenerics_0.42.0  EpiCompare_1.0.0    
## 
## loaded via a namespace (and not attached):
##   [1] utf8_1.2.2                               tidyselect_1.1.2                        
##   [3] htmlwidgets_1.5.4                        RSQLite_2.2.14                          
##   [5] AnnotationDbi_1.58.0                     grid_4.2.0                              
##   [7] BiocParallel_1.30.3                      scatterpie_0.1.7                        
##   [9] munsell_0.5.0                            codetools_0.2-18                        
##  [11] colorspace_2.0-3                         GOSemSim_2.22.0                         
##  [13] TxDb.Hsapiens.UCSC.hg38.knownGene_3.15.0 Biobase_2.56.0                          
##  [15] filelock_1.0.2                           highr_0.9                               
##  [17] knitr_1.39                               rstudioapi_0.13                         
##  [19] DOSE_3.22.0                              labeling_0.4.2                          
##  [21] MatrixGenerics_1.8.0                     GenomeInfoDbData_1.2.8                  
##  [23] polyclip_1.10-0                          seqPattern_1.28.0                       
##  [25] bit64_4.0.5                              farver_2.1.0                            
##  [27] downloader_0.4                           vctrs_0.4.1                             
##  [29] treeio_1.20.0                            generics_0.1.2                          
##  [31] xfun_0.31                                BiocFileCache_2.4.0                     
##  [33] R6_2.5.1                                 graphlayouts_0.8.0                      
##  [35] locfit_1.5-9.5                           bitops_1.0-7                            
##  [37] BRGenomics_1.8.0                         cachem_1.0.6                            
##  [39] fgsea_1.22.0                             gridGraphics_0.5-1                      
##  [41] DelayedArray_0.22.0                      assertthat_0.2.1                        
##  [43] vroom_1.5.7                              promises_1.2.0.1                        
##  [45] BiocIO_1.6.0                             scales_1.2.0                            
##  [47] ggraph_2.0.5                             enrichplot_1.16.1                       
##  [49] gtable_0.3.0                             tidygraph_1.2.1                         
##  [51] rlang_1.0.2                              genefilter_1.78.0                       
##  [53] splines_4.2.0                            lazyeval_0.2.2                          
##  [55] impute_1.70.0                            plyranges_1.16.0                        
##  [57] BiocManager_1.30.18                      yaml_2.3.5                              
##  [59] reshape2_1.4.4                           crosstalk_1.2.0                         
##  [61] GenomicFeatures_1.48.3                   httpuv_1.6.5                            
##  [63] qvalue_2.28.0                            clusterProfiler_4.4.2                   
##  [65] tools_4.2.0                              ggplotify_0.1.0                         
##  [67] gridBase_0.4-7                           ggplot2_3.3.6                           
##  [69] ellipsis_0.3.2                           gplots_3.1.3                            
##  [71] jquerylib_0.1.4                          RColorBrewer_1.1-3                      
##  [73] Rcpp_1.0.8.3                             plyr_1.8.7                              
##  [75] progress_1.2.2                           zlibbioc_1.42.0                         
##  [77] purrr_0.3.4                              RCurl_1.98-1.6                          
##  [79] prettyunits_1.1.1                        viridis_0.6.2                           
##  [81] SummarizedExperiment_1.26.1              ggrepel_0.9.1                           
##  [83] magrittr_2.0.3                           data.table_1.14.2                       
##  [85] DO.db_2.9                                matrixStats_0.62.0                      
##  [87] evaluate_0.15                            hms_1.1.1                               
##  [89] patchwork_1.1.1                          mime_0.12                               
##  [91] xtable_1.8-4                             XML_3.99-0.9                            
##  [93] gridExtra_2.3                            compiler_4.2.0                          
##  [95] biomaRt_2.52.0                           tibble_3.1.7                            
##  [97] KernSmooth_2.23-20                       crayon_1.5.1                            
##  [99] shadowtext_0.1.2                         htmltools_0.5.2                         
## [101] ggfun_0.0.6                              later_1.3.0                             
## [103] tzdb_0.3.0                               tidyr_1.2.0                             
## [105] geneplotter_1.74.0                       aplot_0.1.6                             
## [107] DBI_1.1.2                                tweenr_1.0.2                            
## [109] ChIPseeker_1.32.0                        genomation_1.28.0                       
## [111] dbplyr_2.2.0                             MASS_7.3-57                             
## [113] rappdirs_0.3.3                           boot_1.3-28                             
## [115] Matrix_1.4-1                             readr_2.1.2                             
## [117] cli_3.3.0                                parallel_4.2.0                          
## [119] igraph_1.3.1                             pkgconfig_2.0.3                         
## [121] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2  GenomicAlignments_1.32.0                
## [123] plotly_4.10.0                            xml2_1.3.3                              
## [125] ggtree_3.4.0                             annotate_1.74.0                         
## [127] bslib_0.3.1                              XVector_0.36.0                          
## [129] yulab.utils_0.0.4                        stringr_1.4.0                           
## [131] digest_0.6.29                            Biostrings_2.64.0                       
## [133] rmarkdown_2.14                           fastmatch_1.1-3                         
## [135] tidytree_0.3.9                           restfulr_0.0.14                         
## [137] curl_4.3.2                               shiny_1.7.1                             
## [139] Rsamtools_2.12.0                         gtools_3.9.2.1                          
## [141] rjson_0.2.21                             lifecycle_1.0.1                         
## [143] nlme_3.1-157                             jsonlite_1.8.0                          
## [145] viridisLite_0.4.0                        BSgenome_1.64.0                         
## [147] fansi_1.0.3                              pillar_1.7.0                            
## [149] lattice_0.20-45                          KEGGREST_1.36.0                         
## [151] fastmap_1.1.0                            httr_1.4.3                              
## [153] plotrix_3.8-2                            survival_3.3-1                          
## [155] GO.db_3.15.0                             interactiveDisplayBase_1.34.0           
## [157] glue_1.6.2                               UpSetR_1.4.0                            
## [159] png_0.1-7                                BiocVersion_3.15.2                      
## [161] bit_4.0.4                                sass_0.4.1                              
## [163] ggforce_0.3.3                            stringi_1.7.6                           
## [165] blob_1.2.3                               DESeq2_1.36.0                           
## [167] org.Hs.eg.db_3.15.0                      AnnotationHub_3.4.0                     
## [169] caTools_1.18.2                           memoise_2.0.1                           
## [171] dplyr_1.0.9                              ape_5.6-2